class_docstr: Exponentially increases the learning rate between two boundaries over a number of
  iterations.
class_docstr_tok: ["Exponentially","increases","the","learning","rate","between","two","boundaries","over","a","number","of","iterations","."]
code: def get_lr(self):
      r = self.last_epoch / (self.num_iter - 1)
      return [
          base_lr * (self.end_lr / base_lr) ** r
          for base_lr in self.base_lrs
      ]
  
file_path: MONAI/monai/optimizers/lr_scheduler.py
imports: from __future__ import annotations
  import math
  from torch.optim import Optimizer
  from torch.optim.lr_scheduler import LambdaLR, _LRScheduler
label_desc: Use image node_id 1 for calling the ExponentialLR obj's underlying member method code with example usage: obj.get_lr() and returns: unknown